Organizations variously involved in the scientific work usually appear with a variety of names, identifiers, and metadata information in all the different data sources working in the context of scholarly communication. This ambiguity results in a considerable efficiency problem in the exchange of information, the findability of research products, and the monitoring of activities. 

OpenOrgs is a tool developed to address this ambiguity affecting the information aggregated by OpenAIRE from different research organization registries (e.g., ROR, EC) and populating the OpenAIRE Research Graph. 

It works in two steps: first, an algorithm automatically detects identities between organizations appearing in different data sources, with different names, metadata information, PIDs and so on. Second, a process of manual curatorship corroborates the automated process. Data curators can in fact resolve the ambiguity of duplicates detected with the automated process by stating whether two or more entities correspond or not to the same organization. They can also enrich metadata and eventually suggest new duplicates, thus improving the automated process. 

In the demo session, we will introduce OpenOrgs and we will show how this tool works, how users can interact with its functionalities and thus feed a disambiguation system necessary to build a robust Open Science ecosystem.